Real World Big Data in Azure

The Big Data components of Azure let you build solutions which can process billions of events, using technologies you already know. In this course, we build a real world Big Data solution in two phases, starting with just .NET technologies and then adding Hadoop tools.
Course info
Rating
(183)
Level
Intermediate
Updated
June 17, 2015
Duration
5h 21m
Table of contents
Understanding Big Data in Azure
Ingesting Data into Event Hubs
Storing Event Data for Batch Queries
Querying Batch Data in Deep Storage
Normalizing Event Data for Real-Time Queries
Building Real-time Dashboards
Using Storm for the Plumbing
Using HBase for Storage
Description
Course info
Rating
(183)
Level
Intermediate
Updated
June 17, 2015
Duration
5h 21m
Description

How do you make sense of Big Data? When you’re receiving 100 million events per hour and you need to save them all permanently, but also process key metrics to show real-time dashboards, what technologies and platforms can you use? This course answers those questions using Microsoft Azure, .NET, and Hadoop technologies: Event Hubs, Cloud Services, Web Apps, Blob Storage, SQL Azure, and HDInsight. We build a real solution that can process ten billion events every month, store them for permanent access, and distill key streams of data into powerful real-time visualizations.

About the author
About the author

Elton is an independent consultant specializing in systems integration with the Microsoft stack. He is a Microsoft MVP, blogger, and practicing Technical Architect.

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